Table 4 Multiple linear regression models
Cluster | Variables | Coefficient (Std. error) | P value | Residual Std. rrror | Adjusted \(R^{2}\) | P value of F statistic |
|---|---|---|---|---|---|---|
\(\mathbf{C_{1}}\) | \(X_{2}{:}\; \text{Pain~regression~model}\) | 0.68 | 0.70 | < 0.01 | ||
\(Y_{6}\): Abd_MaxSw | 0.19 (0.02) | < 0.01 | ||||
\(Y_{8}\): Abd_Init | − 0.33 (0.08) | < 0.01 | ||||
\(Y_{13}\): Abd_RomLo | − 0.14 (0.06) | 0.035 | ||||
\(\mathbf{C_{2}}\) | \(X_{7}{:}\; \text{KOOS\_Pain~regression~model}\) | 0.63 | 0.89 | < 0.01 | ||
\(Y_{12}\): Rot_Rom | 0.26 (0.02) | < 0.01 | ||||
\(Y_{5}\): Flex_EndSt | 0.06 (0.01) | < 0.01 | ||||
\(\mathbf{C_{3}}\) | \(X_{9}{:}\; \text{KOOS\_Sport~regression~model}\) | 1.05 | 0.68 | < 0.01 | ||
\(Y_{3}\): Rot_Init | 0.12 (0.05) | 0.02 | ||||
\(X_{5}\): BMI | 1.39 (0.11) | < 0.01 |